Senior Data Scientist providing advanced analytics support using machine learning and data analysis techniques at Sun Life U.S. Collaborating with teams across Pricing, Underwriting, and Clinical areas for risk-based decisions.
Responsibilities
Provide advanced analytics support within Business Analytics function
Develop and monitor predictive models to support pricing, underwriting, and clinical review processes
Support implementation of predictive models
Apply machine learning techniques to streamline and automate processes
Partner with key subject matter experts to develop predictive modeling and analytic solutions
Extract and analyze internal and external data sources to answer key business problems related to risk assessment
Requirements
4-5 years of experience in developing and implementing data science techniques
BS/MS/PhD in a statistical, mathematical, or technical field (e.g., data science, computer science, actuarial science)
Experience with actuarial/pricing, underwriting or related concepts utilized in the health insurance field preferred
Experience with pricing/underwriting advanced analytics application within property & casualty insurance sector is welcomed
Business knowledge of insurance sector preferred
Strong knowledge of data science including conditioning, modeling, integration and visualization
Strong knowledge of the fundamental statistical and AI underpinnings of data science
Proactive ownership of problem solving with team members and subject matter experts
Experience with a broad range of statistical programming languages, applications and data environments (e.g., R, Python, SQL, Tableau)
Benefits
Generous vacation and sick time
Market-leading paid family, parental and adoption leave
Medical coverage
Company paid life and AD&D insurance
Disability programs
Partially paid sabbatical program
401(k) employer match
Stock purchase options
Employer-funded retirement account
Flexible, inclusive and collaborative work environment, supports career growth
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